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Einführung in die Programmierung Introduction to Programming Prof. Dr. Bertrand Meyer

Einführung in die Programmierung Introduction to Programming Prof. Dr. Bertrand Meyer. Exercise Session 7. News ( Reminder ). Mock exam next week! Monday exercise groups: November 7 Tuesday exercise groups: November 8 You have to be present The week after we will discuss the results

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Einführung in die Programmierung Introduction to Programming Prof. Dr. Bertrand Meyer

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  1. Einführung in die ProgrammierungIntroduction to ProgrammingProf. Dr. Bertrand Meyer Exercise Session 7

  2. News (Reminder) • Mock exam next week! • Monday exercise groups: November 7 • Tuesday exercise groups: November 8 • You have to be present • The week after we will discuss the results • Assignment 7 due on November 15

  3. Today • Inheritance • Genericity • Exercise: practicing contracts

  4. Inheritance Principle: Describe a new class as extension or specialization of an existing class (or several withmultipleinheritance) If B inherits from A : Asmodules: all the services ofAare available inB(possibly with a different implementation) Astypes: whenever an instance ofAis required, an instance of Bwill be acceptable(“is-a” relationship)

  5. Let's play Lego! BRICK LEGO_BRICK LEGO_BRICK_WITH_HOLE LEGO_BRICK_SLANTED

  6. Class BRICK deferred class BRICK feature width: INTEGER depth: INTEGER height: INTEGER color: COLOR volume: INTEGER deferred end end

  7. Class LEGO_BRICK class LEGO_BRICK inherit BRICK feature number_of_nubs: INTEGER do Result:= ... end volume: INTEGER do Result:= ... end end Inherit all features of class BRICK. New feature, calculate all nubs Implementation of volume.

  8. Class LEGO_BRICK_SLANTED class LEGO_BRICK_SLANTED inherit LEGO_BRICK redefine volume end feature volume: INTEGER do Result:= ... end end The feature volume is going to be redefined (=changed). The feature volume comes from LEGO_BRICK

  9. Class LEGO_BRICK_WITH_HOLE class LEGO_BRICK_WITH_HOLE inherit LEGO_BRICK redefine volume end feature volume: INTEGER do Result:= ... end end The feature volume is going to be redefined (=changed). The feature volume comes from LEGO_BRICK

  10. Inheritance Notation Notation: Deferred * Effective + Redefinition ++ * volume* BRICK + volume+ LEGO_BRICK volume++ volume++ + + LEGO_BRICK_WITH_HOLE LEGO_BRICK_SLANTED

  11. Deferred • Deferred • Deferred classes can have deferred features. • A class with at least one deferred feature must be declared as deferred. • A deferred feature does not have an implementation yet. • Deferred classes cannot be instantiated and hence cannot contain a create clause.

  12. Effective • Effective • Effective classes do not have deferred features (the “standard case”). • Effective routines have an implementation of their feature body.

  13. Precursor • If a feature was redefined, but you still wish to call the old one, use the Precursor keyword. • volume: INTEGER • do • Result:=Precursor - ... • end

  14. A more general example of using Precursor • -- Class A • routine (a_arg1 :TYPE_A):TYPE_R • do … end • -- Class C • routine (a_arg1 :TYPE_A):TYPE_R • local • l_loc:TYPE_R • do • -- pre-process • l_loc:=Precursor {B}(a_arg1 ) • -- Not allowed: l_loc := Precursor {A} (a_arg1 ) • -- post-process • end routine + + A routine ++ + B routine ++ + C

  15. Today • Inheritance • Genericity • Exercise: practicing contracts

  16. Genericity • Genericity lets you parameterize a class. The parameters are types. A single class text may be reused for many different types.

  17. Genericity SET_OF_CARS LIST_OF_CITIES LIST_OF_ PERSONS LINKED_LIST_OF_CARS Inheritance Abstraction Genericity Type parameterization Type parameterization LIST_OF_CARS Specialization

  18. A generic list Formal generic parameter • classLIST[ G ]featureextend (x : G )... last : G ... end • To use the class: obtain a generic derivation, e.g. • cities: LIST [ CITY ] Actual generic parameter

  19. A generic list with constraints • class • STORAGE [G • inherit • LIST [G] • feature • consume_all • do • from start until after • loop • item.consume • forth • end • end • end ] -> RESOURCE constrained generic parameter The feature item is checked for conformance with RESOURCE. We can assume this. The feature item is of type G. We cannot assume consume.

  20. Type-safe containers • Using genericity you can provide an implementation of type safe containers. x: ANIMAL animal_list: LINKED_LIST [ANIMAL] a_rock: MINERAL animal_list.put (a_rock) -- Does this rock?

  21. Definition: Type • We use types to declare entities, as in x: SOME_TYPE • With the mechanisms defined so far, a type is one of: • A non-generic class e.g.METRO_STATION • A generic derivation, i.e. the name of a class followed by a list of types, the actual generic parameters, in brackets (also recursive) e.g. LIST [ARRAY [METRO_STATION]] • LIST [LIST [CITY ]] • TABLE[STRING, INTEGER]

  22. So, how many types can I possibly get? • Two answers, depending on what we are talking about: • Static types • Static types are the types that we use while writing Eiffel code to declare types for entities (arguments, locals, return values) • Dynamic types • Dynamic types on the other hand are created at run-time. Whenever a new object is created, it gets assigned to be of some type.

  23. Static types • classEMPLOYEE • feature • name: STRING • birthday: DATE • end • classDEPARTMENT • feature • staff: LIST [EMPLOYEE] • end bound by the program text: EMPLOYEE STRING DATE DEPARTMENT LIST[G] becomesLIST[EMPLOYEE]

  24. Object creation, static and dynamic types • classTEST_DYNAMIC _CREATION • feature • ref_a: A; ref_b: B • -- Suppose B, with creation feature make_b, • -- inherits from A, with creation feature make_a • do_something • do • createref_a.make_a • -- Static and dynamic type is A • create{B} ref_a.make_b • -- Static type is A, dynamic type is B • end • end

  25. Dynamic types: another example • classSET[G]feature • powerset:SET[SET[G]] is • do • createResult • -- More computation… • end • i_th_power (i: INTEGER):SET[ANY] • require i >= 0 • local n:INTEGER • do • Result:=Current • fromn := 1 untiln > iloop • Result:=Result.powerset • n := n + 1 • end • end • end Dynamic types fromi_th_power: SET[ANY] SET[SET[ANY]] SET[SET[SET[ANY]]] … From http://www.eiffelroom.com/article/fun_with_generics

  26. Today • Inheritance • Genericity • Exercise: practicing contracts

  27. Specification of a card game • A deck is initially made of 36 cards • Every card in the deck represents a value in the range 2..10 • Every card also represents 1 out of 4 possible colors • The colors represented in the game cards are: • red (‘R’), white (‘W’), green (‘G’) and blue (‘B’) • As long as there are cards in the deck, the players can look at the top card and remove it from the deck

  28. Class CARD create make Hands-On make (a_color: CHARACTER, a_value: INTEGER) -- Create a card given a color and a value. require ... ensure ... color: CHARACTER -- The card color. value: INTEGER -- The card value.

  29. Class CARD: which colors are valid? Hands-On is_valid_color (a_color: CHARACTER): BOOLEAN -- Is `a_color’ a valid color? require ... ensure ...

  30. Class CARD: which ranges are valid? Hands-On is_valid_range (n: INTEGER): BOOLEAN -- Is `n’ in the acceptable range? require ... ensure ... invariant ...

  31. Class CARD create make: reloaded Hands-On make (a_color: CHARACTER, a_value: INTEGER) -- Create a card given a color and a value. require ... ensure ... color: CHARACTER -- The card color. value: INTEGER -- The card value.

  32. Class DECK create make Hands-On make -- Create a deck with random cards. require ... ensure ... feature{NONE} –- Implementation card_list: LINKED_LIST [CARD] -- Deck as a linked list of cards.

  33. Class DECK queries top_card: CARD -- The deck’s top card. is_empty: BOOLEAN -- Is Current deck empty? do … end count: INTEGER -- Number of remaining cards in the deck. do … end Hands-On

  34. Removing the top card from DECK Hands-On remove_top_card -- Remove the top card from the deck. require ... ensure ...

  35. The class invariant Hands-On invariant ...

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